Evidence map›Paper›PMID 30949398›Full record

ArticleAnimal cells and systems2019

VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma.

Mihyang Ha, Hoim Jeong, Jong Seong Roh, Beomgu Lee, Dongjun Lee, Myoung-Eun Han, Sae-Ock Oh, Dong Hyun Sohn, Yun Hak Kim

Open access · goldAbstract read
In one paragraph

Article in Animal cells and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Mihyang HaDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Hoim JeongDepartment of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Jong Seong RohDepartment of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Beomgu LeeDepartment of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Dongjun LeeDepartment of Convergence Medical Science, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Myoung-Eun HanDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Sae-Ock OhDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Dong Hyun SohnDepartment of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Yun Hak KimDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Pusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although pathological observations provide approximate prognoses, it is difficult to achieve prognosis in patients with existing prognostic factors. Therefore, it is very important to find appropriate biomarkers to achieve accurate cancer prognosis. Renal cell carcinoma (RCC) has several subtypes, the discrimination of which is crucial for proper treatment. Here, we present a novel biomarker, VNN3, which is used to prognose clear cell renal cell carcinoma (ccRCC), the most common and aggressive subtype of kidney cancer. Patient information analyzed in our study was extracted from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts. VNN3 expression was considerably higher in stages III and IV than in stages I and II. Moreover, Kaplan-Meier curves associated high VNN3 expression with poor prognoses (TCGA,

Indexed as

biomarkerclear cell renal cell carcinomaICGCTCGAVNN3

Identifiers

PMID30949398
PMCPMC6440501
OpenAlexW2918707153

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.